Training neural networks using Metropolis Monte Carlo and an adaptive variant.
Stephen WhitelamViktor SelinIan BenloloIsaac TamblynPublished in: CoRR (2022)
Keyphrases
- monte carlo
- neural network
- training process
- training algorithm
- markov chain monte carlo
- markov chain
- monte carlo simulation
- importance sampling
- simulation study
- monte carlo tree search
- stochastic approximation
- monte carlo methods
- conditional density estimation
- test set
- optimal strategy
- back propagation
- artificial neural networks
- adaptive sampling
- monte carlo method
- markovian decision
- game tree search
- temporal difference
- training samples
- particle filter
- simulated annealing
- training data
- genetic algorithm
- training set